WSL Market Share Analysis for January 2026

BeschreibungDie Eidg. Forschungsanstalt WSL untersucht Wald, Landschaft, Biodiversität, Naturgefahren sowie Schnee und Eis. Sie gehört zum ETH-Bereich.

Science and Education > Environmental Science

Domainwsl.ch

Year Founded1885

Employees501 - 1000

Annual Revenue$75M - $100M

WSL

WSL (including company regionals)

wsl.ch

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WSL Revenue up to January 2026 is 75M - 100M

revenue generated by WSL top domains

WSL top domains revenue over 3 years

Revenue for WSL top domains

wsl.ch75M - 100M

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Total visits to WSL's top domains

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Total visits last 3 months

Subsidiaries Breakdown

wsl.ch186.4K

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Avg. visit duration in WSL's top domains

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Average visit duration last 3 months

Subsidiaries Breakdown

wsl.ch00:01:59

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Avg. pageviews on WSL's top domains

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Average page views last 3 months

Subsidiaries Breakdown

wsl.ch3.30

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WSL top competitors by domain

Top similar sites in January 2026, ranked by their affinity

eawag.chCompany NameEawagEmployees201 - 500HQSwitzerland, DubendorfAnnual revenue$75M - $100MTotal visits123.9KScience and Education > Environmental Science

Top technologies used by WSL

These are the website technologies, by industry, used by WSL top domains

Payment & Currencies (23)

Cart Functionality

Advertising (6)

Google Adsense

Conversion & Analytics (5)

Google Analytics

Email Services (4)

Microsoft Exchange Online

More Technologies

12

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News & Signals from WSL

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NewsWSL Research Group launches InfoBrief.The Sustainable Mountain Alliance (SMA) and the WSL Institute for Snow and Avalanche Research (SLF) have released their first InfoBrief that has been developed in partnership between the two organisations.

NewsWSL Research Group launches DeepSnow: Improving.Forschungsanstalt WSLhave launched the "DeepSnow: Improving snow avalanche forecasting by data-driven automated predictions" project.

NewsWSL Research Group is developing GaSM.To get a better understanding of the processes of diversification, WSL Institute for Snow and Avalanche Research is developing GaSM (General Allele Simulation Model) which infers biodiversity patterns from historical range dynamics taking into account eco-evolutionary feedbacks.